CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design
supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures

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id 2006_244
authors Lee, Ji-Hyun and Shu-Feng Pan
year 2006
title eCAADe: An Educational Commendation Mechanism for the Adaptive Semantic Web to Use in the Architectural Design Environment
doi https://doi.org/10.52842/conf.ecaade.2006.244
source Communicating Space(s) [24th eCAADe Conference Proceedings / ISBN 0-9541183-5-9] Volos (Greece) 6-9 September 2006, pp. 244-251
summary The “Case Studies in Architecture” phase of a course in architectural design includes in-depth comparisons and analyses of architectural precedents. However, with the large number of cases now readily available, Web searching and navigation is a time-consuming, low precision activity. In the work described in this paper, we built eCAADe, an educational commendation system for the adaptive semantic Web to allow students to query and retrieve semantically for architectural cases during the case study phase of an architectural design process. In our suggested system, we built a Semantic Web for design knowledge representation to make query and retrieval efficient. We also applied a hybrid recommendation mechanism, which is combining both content-based filtering and collaborative filtering to help for students to find relevant cases more efficient and precise with their preferences. We illustrate our concepts with several concrete examples.
keywords Recommendation mechanism; adaptive; semantic Web; architectural cases; ontology
series eCAADe
email
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